From Uncertainty to Failure Attribution: Self-Diagnosing Models for Failure Attribution under Distribution Shift
This work introduces a problem setting for failure attribution under distribution shift, which enables the models not only to detect out-of-distribution samples, but also to find out the reason for their failure.
Yiyao Yang
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